tf.keras.backend.random_normal_variable

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Instantiates a variable with values drawn from a normal distribution.

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Compat aliases for migration

See Migration guide for more details.

tf.compat.v1.keras.backend.random_normal_variable, `tf.compat.v2.keras.backend.random_normal_variable`

tf.keras.backend.random_normal_variable(
    shape, mean, scale, dtype=None, name=None, seed=None
)

Arguments
shape	Tuple of integers, shape of returned Keras variable.
mean	Float, mean of the normal distribution.
scale	Float, standard deviation of the normal distribution.
dtype	String, dtype of returned Keras variable.
name	String, name of returned Keras variable.
seed	Integer, random seed.

Returns
A Keras variable, filled with drawn samples.

Example:

# TensorFlow example
>>> kvar = K.random_normal_variable((2,3), 0, 1)
>>> kvar
<tensorflow.python.ops.variables.Variable object at 0x10ab12dd0>
>>> K.eval(kvar)
array([[ 1.19591331,  0.68685907, -0.63814116],
       [ 0.92629528,  0.28055015,  1.70484698]], dtype=float32)